太原理工大学学报2017，Vol.48Issue(6)：991-995,1028,6.DOI:10.16355/j.cnki.issn1007-9432tyut.2017.06.020
斜连轧机速度张力系统的预测控制
Predictive Control for Speed and Tension System of Tendon Skew Rolling Mill
摘要
Abstract
Tandem Skew Rolling (TSR)process is a new metal forming process for producing hot rolled seamless steel tubes,in which the billet is pierced and rolled in two sets of rolls.In continuous rolling,the tension is an important factor to ensure smooth rolling.Therefore,ten-sion control is one of the very important issues.First,TSR process was analyzed and the mathe-matical dynamic model was established which describes relationship between tension change and roll speed change;then Dynamic Matrix Control (DMC)was adopted as predictive control algo-rithm.The step response of the tension and speed model of TSR mill was adopted as the nonpara-metric model,an optimization controller was designed to control the tension by regulating the speed of roller.Meanwhile,considering the constraints of actual production,we used Particle Swarm Optimization (PSO)algorithm for rolling optimization of the DMC controller.The dy-namic performance of speed and tension system was simulated with SIMULINK.By comparing with traditional PID controller and DMC controller based on PSO,the simulation results show the volatility of the controlled tension was very small and the error was 0.1% by the proposed control strategy.The proposed control method ensured smooth continuous process and satisfied the requirement of product quality.关键词
斜连轧/速度张力系统/动态矩阵控制/粒子群算法/滚动优化Key words
tandem skew rolling/tension and speed system/dynamic matrix control/particle swarm optimization/rolling optimization分类
矿业与冶金引用本文复制引用
王清华,双远华,毛飞龙..斜连轧机速度张力系统的预测控制[J].太原理工大学学报,2017,48(6):991-995,1028,6.基金项目
山西省自然科学基金资助项目(201601D011029) （201601D011029）
山西省研究生优秀创新资助项目(20143104) （20143104）
